Segmenting Highway Network Based on Speed Profiles

GPS data from vehicles making trips on the highway are a valuable source of information for highway data analytics. In this article the authors propose an algorithm for segmenting the highway network into homogenous stretches in terms of vehicle speed profiles. The authors have GPS data of trucks plying across India, transmitted at an interval of 10 minutes, for thousands of trips. The authors identify break-points for individual trips and then cluster those break-points to obtain highway segment ends. The authors calculate the average velocity of vehicles traversing the regions between these segment ends, i.e. the highway segments. Then the authors merge the segments using an iterative minimum difference merging algorithm. The segments obtained thus are meaningful and may be utilized in optimal trip planning, infrastructure management and other decision making tasks.

Language

  • English

Media Info

  • Media Type: Web
  • Features: References;
  • Pagination: 2927-2932
  • Monograph Title: 18th International IEEE Conference on Intelligent Transportation Systems (ITSC 2015)

Subject/Index Terms

Filing Info

  • Accession Number: 01615284
  • Record Type: Publication
  • ISBN: 9781467365956
  • Files: TRIS
  • Created Date: May 2 2016 3:17PM